Analytics + Optimization

Analyze the past and define the future

Data Strategy

Data integrity is the foundation of any digital analytics program. Without access to reliable data, decisions default to intuition. We use a combination of measurement strategy sessions and data audits to verify that the right metrics are identified and tracked correctly. To ensure your goals are reached, we document business requirements and correlate those metrics with analytics variables in a custom solution design reference. Our experience shows strong analytics foundations facilitate trust in the data, support analytical inferences, and positively influence the outcome.

Measurement Strategy

Define success and measurement across channels

Data + Tool Audit

Evaluate data integrity and tool functionality

Business Requirements

Align business needs with project objectives

Solution Design

Map key metrics to the variables in your analytics solution

Technology Enablement

Strategy and investment in technology will fail to return value to a digital marketing program in the absence of expert implementation and enablement services. Leveraging our historical excellence in technical services, we implement analytics and optimization tools as well as provide guidance on how these tools interact with the rest of your tech stack. Combining technical implementation with data engineering services enable our clients to deliver optimal customer experiences at scale.

Implementation Services

Empower data collection and action across tools

Data Engineering

Optimally store, manage, and surface data

Tool Integration

Ensure tools function optimally within your tech stack

Tag Management

Improve governance and reliability of your data layer

Advanced Analytics

We uncover hidden patterns and insights through on-going analysis, dashboards, predictive models, and data visualizations. Utilizing the latest data science techniques, we provide intelligence that informs the digital experience and produces measurable results. Close collaboration with our clients ensures our models are vetted from statistical and business perspectives, resulting in actionable and definitive recommendations.

Analysis + Insights

Provide and spread meaningful insight across the business

Data Science

Algorithmically define audiences, predict behavior, and more

Business Intelligence

Automate dashboards that promote data-driven discovery

Data Visualization

Highlight trends and communicate hidden insights visually

Experience Optimization

Our optimization efforts ensure that the customer experience is informed by data rather than opinion. Testing, personalization, and email campaigns guide user interface features and content as well as improve customer acquisition, engagement, and retention. We use experimental design principles and advanced statistical techniques to properly establish, run, and analyze controlled A/B experiments as well as algorithmically-driven personalization campaigns.

Experimentation

Optimize the presentation layer with A/B and multivariate testing

Personalization

Fine tune content that demands relevancy and measures the results

Email

Craft and deliver the right message to the right audience

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